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2017 | OriginalPaper | Chapter

UniProv: A Flexible Provenance Tracking System for UNICORE

Authors : André Giesler, Myriam Czekala, Björn Hagemeier, Richard Grunzke

Published in: High-Performance Scientific Computing

Publisher: Springer International Publishing

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Abstract

In this paper we present a flexible provenance management system called UniProv. UniProv is an ongoing development project providing provenance tracking in scientific workflows and data management particularly in the field of neuroscience, thus allowing users to validate and reproduce tasks and results of their experiments.
The primary goal is to equip the commonly used Grid middleware UNICORE [1] and its incorporated workflow engine with the provenance capturing mechanism of UniProv. We also explain an approach for using predefined patterns to ensure compatibility with the W3C PROV [2] Data Model and to map the provenance information properly to a neo4j graph database.

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previous chapter Framework for Sharing of Highly Resolved Turbulence Simulation Data
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Metadata
Title
UniProv: A Flexible Provenance Tracking System for UNICORE
Authors
André Giesler
Myriam Czekala
Björn Hagemeier
Richard Grunzke
Copyright Year
2017
Book
High-Performance Scientific Computing

Print ISBN: 978-3-319-53861-7

Electronic ISBN: 978-3-319-53862-4

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-53862-4_20

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